Single image haze removal using novel estimation of atmospheric light and transmission

Hyungjo Park; Dubok Park; David K. Han; Hanseok Ko

doi:10.1109/ICIP.2014.7025913

Single image haze removal using novel estimation of atmospheric light and transmission

Hyungjo Park, Dubok Park, David K. Han, Hanseok Ko

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

19 Citations (Scopus)

Abstract

This paper presents a new single image dehaze approach that uses a novel estimation of the atmospheric light and media transmission. Conventional dehaze methods often result in degraded images with low contrast and/or oversaturation of color in some regions. In order to mitigate these problems we use local atmospheric light and estimate the media transmission for each local region by using an objective function represented by modified saturation evaluation metric and intensity difference. Experimental results on a variety of outdoor haze images show that the proposed method achieves excellent restoration in terms of contrast, color fidelity and image visibility.

Original language	English
Title of host publication	2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4502-4506
Number of pages	5
ISBN (Electronic)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7025913
Publication status	Published - 2014 Jan 28

Publication series

Name	2014 IEEE International Conference on Image Processing, ICIP 2014

Bibliographical note

Funding Information:
We gratefully acknowledge the essential contributions of Mari Kitayabu, which are described in her bachelor thesis at Nagoya University. We thank the KEKB group for the excellent operation of the accelerator, the KEK cryogenics group for the efficient operation of the solenoid, and the KEK computer group and the National Institute of Informatics for valuable computing and Super-SINET network support. We acknowledge support from the Ministry of Education, Culture, Sports, Science, and Technology of Japan and the Japan Society for the Promotion of Science; the Australian Research Council and the Australian Department of Education, Science and Training; the National Science Foundation of China and the Knowledge Innovation Program of the Chinese Academy of Sciences under contract No. 10575109 and IHEP-U-503; the Department of Science and Technology of India; the BK21 program of the Ministry of Education of Korea, the CHEP SRC program and Basic Research program (grant No. R01-2005-000-10089-0) of the Korea Science and Engineering Foundation, and the Pure Basic Research Group program of the Korea Research Foundation; the Polish State Committee for Scientific Research; the Ministry of Science and Technology of the Russian Federation; the Slovenian Research Agency; the Swiss National Science Foundation; the National Science Council and the Ministry of Education of Taiwan; and the US Department of Energy.

Publisher Copyright:
© 2014 IEEE.

Keywords

Dehaze
image enhancement
local atmospheric light
media transmission
saturation evaluation metric

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICIP.2014.7025913

Cite this

Park, H., Park, D., Han, D. K., & Ko, H. (2014). Single image haze removal using novel estimation of atmospheric light and transmission. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 4502-4506). Article 7025913 (2014 IEEE International Conference on Image Processing, ICIP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7025913

Single image haze removal using novel estimation of atmospheric light and transmission. / Park, Hyungjo; Park, Dubok; Han, David K. et al.
2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 4502-4506 7025913 (2014 IEEE International Conference on Image Processing, ICIP 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Park, H, Park, D, Han, DK & Ko, H 2014, Single image haze removal using novel estimation of atmospheric light and transmission. in 2014 IEEE International Conference on Image Processing, ICIP 2014., 7025913, 2014 IEEE International Conference on Image Processing, ICIP 2014, Institute of Electrical and Electronics Engineers Inc., pp. 4502-4506. https://doi.org/10.1109/ICIP.2014.7025913

Park H, Park D, Han DK, Ko H. Single image haze removal using novel estimation of atmospheric light and transmission. In 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 4502-4506. 7025913. (2014 IEEE International Conference on Image Processing, ICIP 2014). doi: 10.1109/ICIP.2014.7025913

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title = "Single image haze removal using novel estimation of atmospheric light and transmission",

abstract = "This paper presents a new single image dehaze approach that uses a novel estimation of the atmospheric light and media transmission. Conventional dehaze methods often result in degraded images with low contrast and/or oversaturation of color in some regions. In order to mitigate these problems we use local atmospheric light and estimate the media transmission for each local region by using an objective function represented by modified saturation evaluation metric and intensity difference. Experimental results on a variety of outdoor haze images show that the proposed method achieves excellent restoration in terms of contrast, color fidelity and image visibility.",

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note = "Funding Information: We gratefully acknowledge the essential contributions of Mari Kitayabu, which are described in her bachelor thesis at Nagoya University. We thank the KEKB group for the excellent operation of the accelerator, the KEK cryogenics group for the efficient operation of the solenoid, and the KEK computer group and the National Institute of Informatics for valuable computing and Super-SINET network support. We acknowledge support from the Ministry of Education, Culture, Sports, Science, and Technology of Japan and the Japan Society for the Promotion of Science; the Australian Research Council and the Australian Department of Education, Science and Training; the National Science Foundation of China and the Knowledge Innovation Program of the Chinese Academy of Sciences under contract No. 10575109 and IHEP-U-503; the Department of Science and Technology of India; the BK21 program of the Ministry of Education of Korea, the CHEP SRC program and Basic Research program (grant No. R01-2005-000-10089-0) of the Korea Science and Engineering Foundation, and the Pure Basic Research Group program of the Korea Research Foundation; the Polish State Committee for Scientific Research; the Ministry of Science and Technology of the Russian Federation; the Slovenian Research Agency; the Swiss National Science Foundation; the National Science Council and the Ministry of Education of Taiwan; and the US Department of Energy. Publisher Copyright: {\textcopyright} 2014 IEEE.",

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N2 - This paper presents a new single image dehaze approach that uses a novel estimation of the atmospheric light and media transmission. Conventional dehaze methods often result in degraded images with low contrast and/or oversaturation of color in some regions. In order to mitigate these problems we use local atmospheric light and estimate the media transmission for each local region by using an objective function represented by modified saturation evaluation metric and intensity difference. Experimental results on a variety of outdoor haze images show that the proposed method achieves excellent restoration in terms of contrast, color fidelity and image visibility.

AB - This paper presents a new single image dehaze approach that uses a novel estimation of the atmospheric light and media transmission. Conventional dehaze methods often result in degraded images with low contrast and/or oversaturation of color in some regions. In order to mitigate these problems we use local atmospheric light and estimate the media transmission for each local region by using an objective function represented by modified saturation evaluation metric and intensity difference. Experimental results on a variety of outdoor haze images show that the proposed method achieves excellent restoration in terms of contrast, color fidelity and image visibility.

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Single image haze removal using novel estimation of atmospheric light and transmission

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this